Core Viewpoint - The company announced that its subsidiary, Aojia Software, has obtained NVIDIA NCP (NVIDIA CLOUD PARTNER) certification, indicating its capability and qualifications for collaboration in AI computing power leasing and cloud computing services [2] Group 1 - Aojia Software has received a high-level certification from NVIDIA, which signifies its qualifications for partnership in AI computing and cloud services [2] - The collaboration is based on the complementary advantages of both parties in specific business directions, aimed at enhancing technical service capabilities and the completeness of customer solutions [2]

Investment Rating - The report maintains a positive rating for the industry, suggesting that AI computing power leasing could become the next ideal anchor asset for RWA [4]. Core Insights - RWA serves as a bridge between real-world assets and web3.0, facilitating the transition from web2.0 to web3.0 financing channels by tokenizing tangible and intangible assets on the blockchain [1][8]. - The expansion of RWA assets has evolved from traditional financial assets to real estate and physical economy assets, with significant participation from major financial institutions [11][12]. - AI computing power leasing is identified as a promising next step in the RWA asset chain, characterized by market growth, clear yield transparency, and defined market financing needs [2][3]. Summary by Sections RWA Asset Expansion Path - RWA utilizes blockchain technology to convert real-world assets into digital tokens, enabling investment in fixed-income products and facilitating asset diversification and risk sharing [1][8]. - The RWA asset category has expanded significantly since the introduction of stablecoins like USDT in 2014, which addressed volatility in the crypto market [11][12]. Characteristics of Ideal Anchor Assets for RWA - Ideal RWA anchor assets should exhibit continuous market growth, transparent yield, and clear market financing demand [18][19]. - The process of "confirmation—splitting—circulation—financialization" is essential for RWA, ensuring that assets are digitized and can be traded efficiently [18][20]. AI Computing Power Leasing as the Next Anchor Asset - The report highlights that AI computing power leasing possesses the necessary characteristics to become an ideal anchor asset for RWA, driven by the increasing demand for computational resources in AI applications [2][29]. - The global AI computing power leasing market is projected to grow significantly, with estimates reaching $14.6 billion in 2024 and expanding to $63.64 billion by 2031 [44][47]. Investment Recommendations - The report suggests closely monitoring the relevant industry chain, including IDC manufacturers and cloud service providers, as they are poised to benefit from the growth of RWA and AI computing power leasing [3][58].

Core Insights - R&D investment has become a key driver for innovation and development among A-share listed companies, with 2886 companies reporting year-on-year growth in R&D spending, representing nearly 60% of the total [1] - The ChiNext board shows the highest R&D conversion efficiency, while the main board has increased its R&D investment in recent years [1] R&D Investment by Board - The Sci-Tech Innovation Board leads in R&D expense ratio, reaching 10.83% in 2024, up 0.79 percentage points from 2022, aligning with its focus on "hard technology" sectors [3] - The ChiNext board's R&D expense ratio is steadily increasing, reaching 4.81% in 2024, with a five-year revenue growth rate of 79.86% and profit growth of 45.51%, indicating high R&D conversion efficiency [3][4] - The main board's R&D expense ratio is relatively low at 1.9% in 2024, with a five-year revenue growth rate of 27.26% and profit growth of 22.27%, reflecting a more stable but less explosive performance compared to emerging industries [4] Industry-Specific R&D Insights - The computer industry has the highest R&D investment, with an expense ratio of 9.06%, but faces significant profit declines, indicating a "revenue without profit" scenario due to high costs associated with AI technology [5][8] - The top five industries by R&D expense ratio include SW Computer (9.06%), SW Defense Industry (5.97%), SW Electronics (5.56%), SW Machinery (5.35%), and SW Pharmaceutical Biology (5.02%), all showing high revenue growth but facing short-term profit pressures [7][8] - AI-related companies are experiencing a "revenue without profit" dilemma, with rising costs in hardware and talent, leading to significant profit declines despite revenue growth [9] Long-term Outlook - The short-term profit challenges in the computer industry are seen as necessary costs for the AI technology revolution, with expectations for margin recovery as the ecosystem matures and enterprise-level AI adoption increases by 2025 [9]